Facial recognition for non-crowded environments
Advanced facial expressions analysis for the study of human behavior on videos
It is a non-invasive software for the individual, since it is based on image processing techniques. It is able to detect basic facial emotions such as “joy”, “sadness” or “anger”, and also more subtle micro-expressions of the face such as “frown”, “blink” or “eyebrows raise”.
BioObserver also allows to extract the direction of the gaze and the orientation of the head, to monitor behavioral metrics such as the degree of attention of the individual. In addition to automatically tagging the extracted facial information, the platform allows you to configure additional annotations of events and frames that are considered of interest.
High-performance facial recognition to monitor density and proximity of individuals in crowded environments